Frontiers in Neurorobotics (Jun 2023)

Enactive artificial intelligence: subverting gender norms in human-robot interaction

  • Inês Hipólito,
  • Inês Hipólito,
  • Katie Winkle,
  • Merete Lie

DOI
https://doi.org/10.3389/fnbot.2023.1149303
Journal volume & issue
Vol. 17

Abstract

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IntroductionThis paper presents Enactive Artificial Intelligence (eAI) as a gender-inclusive approach to AI, emphasizing the need to address social marginalization resulting from unrepresentative AI design.MethodsThe study employs a multidisciplinary framework to explore the intersectionality of gender and technoscience, focusing on the subversion of gender norms within Robot-Human Interaction in AI.ResultsThe results reveal the development of four ethical vectors, namely explainability, fairness, transparency, and auditability, as essential components for adopting an inclusive stance and promoting gender-inclusive AI.DiscussionBy considering these vectors, we can ensure that AI aligns with societal values, promotes equity and justice, and facilitates the creation of a more just and equitable society.

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